pretty_name: "Stanford Dogs" | |
license: "mit" | |
task_category: "Classification" | |
# Dataset | |
This dataset is extracted from [Stanford Dogs Dataset](http://vision.stanford.edu/aditya86/ImageNetDogs/) | |
# Load | |
```python | |
import datasets | |
dataset = datasets.load_dataset("Alanox/stanford-dogs", split="full") | |
print(dataset) | |
""" | |
Dataset({ | |
features: ['name', 'annotations', 'target', 'image'], | |
num_rows: 20580 | |
}) | |
""" | |
print(dataset.features) | |
""" | |
{ | |
'name': Value(dtype='string', id=None), | |
'annotations': Array2D(shape=(None, 4), dtype='int32', id=None), | |
# ["xmin", "ymin", "xmax", "ymax"] | |
'target': Value(dtype='string', id=None), | |
'image': Image(decode=True, id=None) | |
} | |
""" | |
``` | |
This dataset was created by the scripts from [this github repo](https://github.com/AlanBlanchet/ClassezDesImagesAvecDesAlgorithmesDeDeeplearning) | |